View source: R/converters_DIAUmpiretoMSstatsFormat.R
DIAUmpiretoMSstatsFormat | R Documentation |
Import DIA-Umpire files
DIAUmpiretoMSstatsFormat(
raw.frag,
raw.pep,
raw.pro,
annotation,
useSelectedFrag = TRUE,
useSelectedPep = TRUE,
removeFewMeasurements = TRUE,
removeProtein_with1Feature = FALSE,
summaryforMultipleRows = max,
use_log_file = TRUE,
append = FALSE,
verbose = TRUE,
log_file_path = NULL,
...
)
raw.frag |
name of FragSummary_date.xls data, which includes feature-level data. |
raw.pep |
name of PeptideSummary_date.xls data, which includes selected fragments information. |
raw.pro |
name of ProteinSummary_date.xls data, which includes selected peptides information. |
annotation |
name of annotation data which includes Condition, BioReplicate, Run information. |
useSelectedFrag |
TRUE will use the selected fragment for each peptide. 'Selected_fragments' column is required. |
useSelectedPep |
TRUE will use the selected peptide for each protein. 'Selected_peptides' column is required. |
removeFewMeasurements |
TRUE (default) will remove the features that have 1 or 2 measurements across runs. |
removeProtein_with1Feature |
TRUE will remove the proteins which have only 1 feature, which is the combination of peptide, precursor charge, fragment and charge. FALSE is default. |
summaryforMultipleRows |
max(default) or sum - when there are multiple measurements for certain feature and certain run, use highest or sum of multiple intensities. |
use_log_file |
logical. If TRUE, information about data processing will be saved to a file. |
append |
logical. If TRUE, information about data processing will be added to an existing log file. |
verbose |
logical. If TRUE, information about data processing wil be printed to the console. |
log_file_path |
character. Path to a file to which information about
data processing will be saved.
If not provided, such a file will be created automatically.
If |
... |
additional parameters to |
data.frame in the MSstats required format.
Meena Choi, Olga Vitek
diau_frag = system.file("tinytest/raw_data/DIAUmpire/dia_frag.csv",
package = "MSstatsConvert")
diau_pept = system.file("tinytest/raw_data/DIAUmpire/dia_pept.csv",
package = "MSstatsConvert")
diau_prot = system.file("tinytest/raw_data/DIAUmpire/dia_prot.csv",
package = "MSstatsConvert")
annot = system.file("tinytest/raw_data/DIAUmpire/annot_diau.csv",
package = "MSstatsConvert")
diau_frag = data.table::fread(diau_frag)
diau_pept = data.table::fread(diau_pept)
diau_prot = data.table::fread(diau_prot)
annot = data.table::fread(annot)
diau_frag = diau_frag[, lapply(.SD, function(x) if (is.integer(x)) as.numeric(x) else x)]
# In case numeric columns are not interpreted correctly
diau_imported = DIAUmpiretoMSstatsFormat(diau_frag, diau_pept, diau_prot,
annot, use_log_file = FALSE)
head(diau_imported)
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